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100python-

Python 100天练习进阶

201903python

上课笔记及文档信息

anomaly-reactionrl

Using RL for anomaly detection in NSL-KDD

bert-pytorch

Google AI 2018 BERT pytorch implementation

cflw_py

乘风龙王的代码库(python)

chatgpt-next-web-1

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data-science-notes

数据科学的笔记以及资料搜集

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeplearning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

devops

《DevOps和自动化运维实践》源码

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

exercise

exercise for nndl

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

gesture-recognition

TensorFlow、CNN 利用卷积神经网络实时识别手势动作(有界面窗口）

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

intrusion-detection-system-using-deep-learning

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

intrusion-detection-systems

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".